Tsutomu Daa
Impact in
- Dermatology top 2%
- Cancer and Skin Lesions
- Oncology top 5%
- Ear and Head Tumors
- Cancer-related Molecular Pathways
Papers in
- Dermatology 15
- Cancer and Skin Lesions 15
- Oncology 45
- Ear and Head Tumors 10
- Viral-associated cancers and disorders 9
- Co-authors
- Shigeo YokoyamaKenji KashimaIwao NakayamaShiro NoguchiNaomi YadaAyako GamachiAtsushi SasakiYoshiyuki Kondo
- Journals
- Pathology International (13 papers)Apmis (10 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (6 papers)American Journal of Dermatopathology (6 papers)Modern Pathology (4 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Tsutomu Daa
142 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 97
- Dermatology 204
- Oncology 556
- Endocrinology, Diabetes and Metabolism 319
- Pathology and Forensic Medicine 325
- Oral Surgery 129
Countries citing papers authored by Tsutomu Daa
This map shows the geographic impact of Tsutomu Daa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tsutomu Daa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Daa more than expected).
Fields of papers citing papers by Tsutomu Daa
This network shows the impact of papers produced by Tsutomu Daa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tsutomu Daa. The network helps show where Tsutomu Daa may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsutomu Daa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 0 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2017 | 3 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 17 | |
| 13 | 2012 | 1 | |
| 14 | 2006 | 19 | |
| 15 | 2004 | 10 | |
| 16 | 2002 | 2 | |
| 17 | 2001 | 10 | |
| 18 | 1997 | 1 | |
| 19 | 1997 | 21 | |
| 20 | 1997 | 8 |
About Tsutomu Daa
Tsutomu Daa is a scholar working on Dermatology, Oncology, Pathology and Forensic Medicine, Surgery and Oral Surgery, having authored 156 papers that have together received 1.9k indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (22 papers), Cancer and Skin Lesions (15 papers), Ear and Head Tumors (10 papers), Oral and Maxillofacial Pathology (9 papers), Viral-associated cancers and disorders (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Hedgehog Signaling Pathway Studies (6 papers). The work is most often cited by research in Dermatology (204 citations), Oncology (556 citations), Endocrinology, Diabetes and Metabolism (319 citations), Pathology and Forensic Medicine (325 citations) and Oral Surgery (129 citations). Tsutomu Daa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigeo Yokoyama, Kenji Kashima, Iwao Nakayama, Shiro Noguchi, Naomi Yada, Ayako Gamachi, Atsushi Sasaki, Yoshiyuki Kondo, Jin Tanahashi and Haruto Nishida. Their work appears in journals such as Pathology International, Apmis, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, American Journal of Dermatopathology and Modern Pathology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.